Bültmann & Gerriets
NETLAB
Algorithms for Pattern Recognition
von Ian T. Nabney
Verlag: Springer London
Reihe: Advances in Computer Vision and Pattern Recognition
Hardcover
ISBN: 978-1-85233-440-6
Auflage: 2002
Erschienen am 25.10.2001
Sprache: Englisch
Format: 235 mm [H] x 155 mm [B] x 24 mm [T]
Gewicht: 663 Gramm
Umfang: 440 Seiten

Preis: 80,24 €
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Inhaltsverzeichnis
Klappentext

Introduction.- Parameter Optimisation Algorithms.- Density Modelling and Clustering.- Single-Layer Networks.- The Multi-Layer Perceptron.- Radial Basis Functions.- Visualisation and Latent Variable Models.- Sampling.- Bayesian Techniques.- Gaussian Processes.- Linear Algebra and Matrices.- Algorithm Error Analysis.- Function Index.- Subject Index.



This volume provides students, researchers and application developers with the knowledge and tools to get the most out of using neural networks and related data modelling techniques to solve pattern recognition problems. Each chapter covers a group of related pattern recognition techniques and includes a range of examples to show how these techniques can be applied to solve practical problems. Features of particular interest include:
- A NETLAB toolbox which is freely available
- Worked examples, demonstration programs and over 100 graded exercises
- Cutting edge research made accessible for the first time in a highly usable form
- Comprehensive coverage of visualisation methods, Bayesian techniques for neural networks and Gaussian Processes
Although primarily a textbook for teaching undergraduate and postgraduate courses in pattern recognition and neural networks, this book will also be of interest to practitioners and researchers who can use the toolbox to develop application solutions and new models.
"...provides a unique collection of many of the most important pattern recognition algorithms. With its use of compact and easily modified MATLAB scripts, the book is ideally suited to both teaching and research."
Christopher Bishop, Microsoft Research, Cambridge, UK
"...a welcome addition to the literature on neural networks and how to train and use them to solve many of the statistical problems that occur in data analysis and data mining" Jack Cowan, Mathematics Department, University of Chicago, US

"If you have a pattern recognition problem, you should consider NETLAB; if you use NETLAB you must have this book." Keith Worden, University of Sheffield, UK


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